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The Department of Pathology at Dana-Farber Cancer Institute is seeking an experienced M.D. or Ph. D. scientist with technical expertise in diagnostic assay development and/or research pathology, as well as research administration, scientific writing, and project management.
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Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy.
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Experience in Bioinformatics or Data Science, including independent algorithm/software development and analysis of next-generation microbial sequencing data. (ii) develop of machine learning and computational discovery methods for public health research.
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Knowledge of data management practices across the full data life cycle, such as data strategy, requirements, design and development, data science, data governance, metadata management, data quality, business intelligence, and data security & privacy.
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Bachelor's degree in a Social Science field and 5+ years of experience in justice research and quantitative analysis, or Master's degree in a Social Science field and 3+ years of experience in justice research and quantitative analysis.
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DLH delivers improved health and national security readiness solutions for federal programs through science research and development, systems engineering and integration, and digital transformation.
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Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as Rand Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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The Development and Grants Manager reports to the Director of Development and works closely with the VP of Institutional Advancement, the Director of Impact and Evaluation, the Data Analyst, the Finance Department, program departments, and the President & CEO. Specific Duties Manage a portfolio of 50 former, current, and prospective government entities and private and family foundations.
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Conducting research and benchmarking to provide context and best practices for HR data analysis and interpretationCollaborating with HR and business partners to understand their data needs and provide solutions that support their goals and initiativesEnsuring data quality, accuracy, and compliance with data governance and privacy standards Requirements:Education: A bachelor’s degree or higher in human resources, statistics, data science, business, or equivalent related experience.
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Tasks may include basic assistance with the research, concept development, design, and optimal integration of intelligent technologies using a structured cable plant, serving building capabilities including data networks, access control, video surveillance, audiovisual systems, and smart building systems.
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Objective 2: Respect for human rights and democratic values are embedded in the development and design of digital technology and data management. We support clients ranging from the U.S. Government (e.g., the U.S. Agency for International Development, U.S. Department of Defense, U.S. Departments of State and Labor, and the Millennium Challenge Corporation) to large bilateral and multilateral donors (e.g., the World Bank and the United Nations Development Program.
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Knowledge of Internet-based research, including Boolean logic, search engine and database resources and Internet sources, including social media, social networking tools, data exploitation, and commercial and industry-based databases.
$137,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience leveraging Esri's software capabilities including, mapping, field operations, spatial analysis and data science, 3D visualization and analytics, data management, and developer APIs.
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Experience in statistical detection of potential healthcare fraud and abuse, using tools, such as predictive modeling, development of mathematical models, neural networks, healthcare data analytics, and data mining.
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data science research and development mining jobs Title: science director in Mclean, VA
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